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Early diagnosis and prognosis of heart disease are essential to facilitate the clinical management of patients. In this research, a new computational model for predicting early heart disease is proposed. The predictive model is embedded in a new regularization based on decaying the weights according to the weight matrices\u2019 standard deviation and comparing the results against its parents (RSD\u2010ANN). The performance of RSD\u2010ANN is far better than that of the existing methods. Based on our experiments, the average validation accuracy computed was 96.30% using either the tenfold cross\u2010validation or holdout method.<\/jats:p>","DOI":"10.1155\/2021\/8628335","type":"journal-article","created":{"date-parts":[[2021,11,11]],"date-time":"2021-11-11T23:35:20Z","timestamp":1636673720000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Computational Learning Model for Prediction of Heart Disease Using Machine Learning Based on a New Regularizer"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3936-4349","authenticated-orcid":false,"given":"Abdulaziz","family":"Albahr","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3586-3423","authenticated-orcid":false,"given":"Marwan","family":"Albahar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5780-9749","authenticated-orcid":false,"given":"Mohammed","family":"Thanoon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0915-7058","authenticated-orcid":false,"given":"Muhammad","family":"Binsawad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,11,11]]},"reference":[{"key":"e_1_2_13_1_2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btg062"},{"key":"e_1_2_13_2_2","doi-asserted-by":"publisher","DOI":"10.1023\/a:1012487302797"},{"key":"e_1_2_13_3_2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti370"},{"key":"e_1_2_13_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2004.105"},{"key":"e_1_2_13_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.103375"},{"key":"e_1_2_13_6_2","first-page":"350","volume-title":"Lecture Notes in Computer Science","author":"Tall\u00f3n-Ballesteros A. 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